It would be an advantage to be able to link several computers together to work on the same work unit at the same time. Or have one multi-core computer use multiple cores on a single work unit.
If this feature is already available, it is not clear as to how to implement it.
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It would be an advantage to be able to link several computers together to work on the same work unit at the same time. Or have one multi-core computer use multiple cores on a single work unit.
If this feature is already available, it is not clear as to how to implement it.

Clustering, not really. However, if the application can use multi threads, and it has been set up for that, then BOINC is perfectly happy to use multiple threads on a single task. However, SETI is only single threaded.
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It might seem like an advantage, but the more you split the problem the more overhead there is. You could see a WU process faster by splitting it further, but you would be working on fewer units at a time. You'd still end up with the same RAC, or a little less because of the extra overhead.

I can see a little use for this where you want to get a WU done fast then stop processing for a while. But this project is really set up for a MUCH longer term and that situation does not occur frequently enough to concider due to the overhead involved. Some GPU's already process these WU's too quickly.

In regards to seti@home the problem is already being run on multiple cores in a cluster. That's BOINC. The WU is already a very small portion of the whole problem.